Advances in Portable Optical Microscopy Using Cloud Technologies and Artificial Intelligence for Medical...

Area of Science:

• Biomedical imaging
• Microscopy technology
• Digital pathology

Background:

• Traditional laboratory microscopes are bulky, lack connectivity, and require expert analysis.
• There is a growing need for faster, more accessible imaging solutions in the biomedical field.

Purpose of the Study:

• To review recent advancements in microscope miniaturization and related technologies.
• To explore the integration of the Internet of Things (IoT) and artificial intelligence (AI) in microscopy.
• To highlight the importance of a holistic approach to the microscopy acquisition chain.

Main Methods:

• Review of emerging technologies like photoacoustic microscopy and smartphone-based microscopy.
• Examination of Internet of Things (IoT) applications in microscopy for data sharing and cloud computing.
• Discussion of the transition from traditional to deep learning algorithms for automated image processing and analysis.

Main Results:

• Compact, 3D-printed devices and smartphone microscopy offer portable alternatives.
• IoT integration enables enhanced data sharing and cloud-based analysis.
• Deep learning algorithms significantly improve image enhancement and data interpretation.

Conclusions:

• Combining portable microscopy with IoT and AI presents a powerful solution for accessible biomedical imaging.
• A comprehensive approach to the entire microscopy acquisition chain, from portability to analysis, is crucial for future advancements.